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Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic
  Segmentation

Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation

15 March 2022
Runfa Chen
Yu Rong
Shangmin Guo
Jiaqi Han
Gang Hua
Tingyang Xu
Wenbing Huang
    ViT
ArXivPDFHTML

Papers citing "Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation"

45 / 45 papers shown
Title
Better Supervisory Signals by Observing Learning Paths
Better Supervisory Signals by Observing Learning Paths
Yi Ren
Shangmin Guo
Danica J. Sutherland
43
21
0
04 Mar 2022
SOTR: Segmenting Objects with Transformers
SOTR: Segmenting Objects with Transformers
Ruohao Guo
Dantong Niu
Liao Qu
Zhenbo Li
ViT
39
104
0
15 Aug 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
165
4,934
0
31 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic
  Segmentation
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov
Stefan Roth
75
229
0
30 Apr 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin K. Wei
Huaxia Xia
Chunhua Shen
ViT
57
1,006
0
28 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
351
21,175
0
25 Mar 2021
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric
  Alignment and Category-Center Regularization
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization
Haoyu Ma
Xiangru Lin
Zifeng Wu
Yizhou Yu
24
70
0
24 Mar 2021
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
Ashish Vaswani
Prajit Ramachandran
A. Srinivas
Niki Parmar
Blake A. Hechtman
Jonathon Shlens
68
398
0
23 Mar 2021
Dynamic Transfer for Multi-Source Domain Adaptation
Dynamic Transfer for Multi-Source Domain Adaptation
Yunsheng Li
Lu Yuan
Yinpeng Chen
Pei Wang
Nuno Vasconcelos
44
67
0
19 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
459
3,678
0
24 Feb 2021
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A Survey
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DH
AI4TS
AI4CE
57
638
0
09 Feb 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on
  ImageNet
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Li-xin Yuan
Yunpeng Chen
Tao Wang
Weihao Yu
Yujun Shi
Zihang Jiang
Francis E. H. Tay
Jiashi Feng
Shuicheng Yan
ViT
104
1,918
0
28 Jan 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for
  Domain Adaptive Semantic Segmentation
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Yong Wang
Fang Wen
131
496
0
26 Jan 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
317
6,657
0
23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
425
40,217
0
22 Oct 2020
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Ke Mei
Chuang Zhu
Jiaqi Zou
Shanghang Zhang
69
306
0
27 Aug 2020
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain
  Semantic Segmentation
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
Haoran Wang
T. Shen
Wei Zhang
Lingyu Duan
Tao Mei
52
289
0
17 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
526
41,106
0
28 May 2020
Unsupervised Intra-domain Adaptation for Semantic Segmentation through
  Self-Supervision
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
Fei Pan
Inkyu Shin
François Rameau
Seokju Lee
In So Kweon
SSL
60
370
0
16 Apr 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation
FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang
Stefano Soatto
OOD
71
891
0
11 Apr 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
223
500
0
08 Mar 2020
Learning Texture Invariant Representation for Domain Adaptation of
  Semantic Segmentation
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
Myeongjin Kim
H. Byun
OOD
50
277
0
02 Mar 2020
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation
  in Semantic Segmentation
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
Jaehoon Choi
Taekyung Kim
Changick Kim
56
243
0
02 Sep 2019
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Yunsheng Li
Lu Yuan
Nuno Vasconcelos
SSeg
74
625
0
24 Apr 2019
Progressive Feature Alignment for Unsupervised Domain Adaptation
Progressive Feature Alignment for Unsupervised Domain Adaptation
Chaoqi Chen
Weiping Xie
Wenbing Huang
Yu Rong
Xinghao Ding
Yue Huang
Tingyang Xu
Junzhou Huang
53
409
0
21 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.1K
93,936
0
11 Oct 2018
Taking A Closer Look at Domain Shift: Category-level Adversaries for
  Semantics Consistent Domain Adaptation
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Yawei Luo
Liang Zheng
T. Guan
Junqing Yu
Yi Yang
OOD
51
718
0
25 Sep 2018
Unified Perceptual Parsing for Scene Understanding
Unified Perceptual Parsing for Scene Understanding
Tete Xiao
Yingcheng Liu
Bolei Zhou
Yuning Jiang
Jian Sun
OCL
VOS
133
1,859
0
26 Jul 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
110
1,535
0
28 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
118
9,312
0
09 Feb 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
130
2,992
0
08 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
501
129,831
0
12 Jun 2017
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Yi-Hsin Chen
Wei-Yu Chen
Yu-Ting Chen
Bo-Cheng Tsai
Y. Wang
Min Sun
SSeg
137
341
0
27 Apr 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
232
4,646
0
17 Feb 2017
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
72
787
0
08 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
419
11,941
0
04 Dec 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
108
2,002
0
07 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
194
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
380
37,704
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
753
11,540
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
421
61,900
0
04 Jun 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
347
9,418
0
28 May 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
255
19,523
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.0K
149,474
0
22 Dec 2014
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